Comparative Analysis of Spatial and Environmental Data in Informal Settlements, from Point Clouds and RPAS Images

CARLOS ALBERTO DIAZ RIVEROS; ANDRÉS CUESTA VELEÑO; JULIETA FREDIANI; ROCIO RODRIGUEZ TARDUCCI; DANIELA CORTIZO

Guayaquil

Conferencia; 6th International Conference, ICAI 2023; 2023

Universidad Franciso José de Caldas (Colombia); Universidad Ecotec (Ecuador)

Although there is access to QGIS, ArcGIS, MappingGIS platforms, with extensive historical and current information, environmental and spatial data, paradoxically, there is little analysis of the data from these platforms on urban structures that contribute to decision making, and even less on informal settlements; Paradoxically, there is little analysis of the data from these platforms on urban structures that contribute to decision making, and even less on informal settlements, we start from this problem question: the lack of knowledge coupled with little use or implementation of geoinformatics in municipal planning offices, have allowed the uncontrolled and uncontrolled growth of informal settlements, therefore, their problems are becoming more complex every day? In addition to this hypothesis, could we infer from geoinformatics possible solutions to informal settlements, guiding the steps of government authorities, seeking to support decision making, promoting welfare and protection of vulnerable communities there? In this exercise, which will be presented with the support of geoinformatics, we intend to present the results of a comparative analysis on issues related to critical environmental aspects in informal settlements -such as water courses and flood plains-. Seven informal settlements are analyzed: three in La Plata (Argentina), two in Mocoa and two in Villavicencio (Colombia). The method seeks the interrelation of geometric information from point clouds, and radiometric information from orthomosaic images of Piloted Aerial Systems (RPAS), to then classify the variables, with the objective of generating new information derived from the analysis, which. The images resulting from the crossing of information generating new spatialities will be made available to communities, public and private entities.